def calcIDAdjustment(Corp, eta=0.4):
"""
Calculates the adjustment factors for the corporate and noncorporate debt
and interest.
eta: retirement rate of existing debt
"""
# Create Asset object
asset1 = Asset(data1.btax_defaults, Corp)
asset1.calc_all()
# Get asset forecast
forecast = asset1.get_forecast()
# Create Debt object
debt1 = Debt(data1.btax_defaults, forecast, corp=Corp)
debt1.calc_all()
# Get unscaled net interest deduction
NID_gross = debt1.NID[38:54]
# Get net interest deduction from historical IRS data
if Corp:
NID_irs = np.array(data1.debt_data_corp['NID_IRS'])[38:54]
else:
NID_irs = np.array(data1.debt_data_noncorp['ID_Scorp'][38:54] +
data1.debt_data_noncorp['ID_sp'][38:54] +
data1.debt_data_noncorp['ID_partner'][38:54])
NID_scale = sum(NID_irs / NID_gross) / 16.
return NID_scale
def calcDepAdjustment(corp):
"""
Calculates the adjustment factor for assets, depreciation and investment
corp: indicator for whether corporate or noncorporate data
"""
# Create Asset object
asset1 = Asset(data1.btax_defaults, corp)
asset1.calc_all()
# Get unscaled depreciation for all years
totalAnnualDepreciation = asset1.calcDep_allyears()
#####
depreciation_data = copy.deepcopy(data1.depreciationIRS_data)
depreciation_data['dep_model'] = totalAnnualDepreciation[40:54]
if corp:
depreciation_data['scale'] = (depreciation_data['dep_Ccorp'] /
depreciation_data['dep_model'])
else:
depreciation_data['scale'] = (
(depreciation_data['dep_Scorp'] + depreciation_data['dep_sp'] +
depreciation_data['dep_partner']) /
depreciation_data['dep_model'])
adj_factor = (sum(depreciation_data['scale']) /
len(depreciation_data['scale']))
return adj_factor
